Triple
T7297606
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Laura Kelly |
E164563
|
entity |
| Predicate | hasChild |
P369
|
FINISHED |
| Object |
Molly Kelly
Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
|
E664673
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Molly Kelly | Statement: [Laura Kelly, hasChild, Molly Kelly]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Molly Kelly Context triple: [Laura Kelly, hasChild, Molly Kelly]
-
A.
Molly Cregg
Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
-
B.
Molly McCauley
Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
-
C.
Molly Hogan
Molly Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
-
D.
Molly Larkins
Molly Larkins is the spirited, independent heroine of the musical "The Farmer Takes a Wife," whose romance with a canal boatman drives the story’s central conflict between rustic tradition and changing times.
-
E.
Molly Madden
Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Molly Kelly Triple: [Laura Kelly, hasChild, Molly Kelly]
Generated description
Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Molly Kelly Target entity description: Molly Kelly is one of the children of Laura Kelly, the governor of Kansas.
-
A.
Molly Cregg
Molly Cregg is a minor character in the television series "The West Wing," known as the young niece of White House Press Secretary C. J. Cregg.
-
B.
Molly McCauley
Molly McCauley, better known as Molly Pitcher, is a legendary figure of the American Revolutionary War celebrated for taking her husband's place at a cannon during the Battle of Monmouth.
-
C.
Molly Hogan
Molly Hogan is a child of Australian film director and screenwriter Jocelyn Moorhouse.
-
D.
Molly Larkins
Molly Larkins is the spirited, independent heroine of the musical "The Farmer Takes a Wife," whose romance with a canal boatman drives the story’s central conflict between rustic tradition and changing times.
-
E.
Molly Madden
Molly Madden is an entertainment industry professional best known as a founder of the talent management and production company 3 Arts Entertainment.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69c6887a499881909dd23341399c59d8 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6eb8f83c881909e8eae85410f9659 |
completed | March 27, 2026, 8:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827604a808190a362734e864123aa |
completed | March 28, 2026, 7:09 p.m. |
| NEDg | Description generation | batch_69c828050b0481908723e61756aa2d68 |
completed | March 28, 2026, 7:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c82900c41481909f886fc565c57420 |
completed | March 28, 2026, 7:16 p.m. |
Created at: March 27, 2026, 3 p.m.